Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Practice and Science Department Website Link https://www.pharmacy.arizona.edu/departments-directory/pharmacy-practice-science-department Location Tucson Campus Address Tucson, AZ USA Position Highlights The
-
prediction, therapeutic target identification, and precision therapeutics • Developing predictive models, knowledge graphs, NLP/LLM applications, and AI-enabled analytic frameworks • Leading manuscript
-
-call authorization, agent action budgets and rate limits, output filtering, and secrets isolation. - Participate in recurring red-team exercises against AI platforms mapped to the OWASP LLM Top 10
-
. Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation. In The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025). Where to apply
-
req26987 Department Admin Technologies Department Website Link https://it.arizona.edu/ Location To Be Determined Address USA Position Highlights University Information Technology Services (UITS) is the
-
validation tests of experimental results related to developed prototypes. Designing conversational solutions and for the assessment of conversational solutions after having worked on LLM's. - ISOL, M. Penco
-
, applying state-of-the-art methods to cutting-edge biomedical questions. Design, implement, and evaluate ML and foundation-model approaches, including LLM-based solutions, for scientific text mining
-
Responsibilities of the selected candidate: a) Analyze large-scale textual datasets; b) Contribute to the development of new Large Language Model (LLM) artificial intelligence systems; c) Present the scientific
-
Responsibilities of the selected candidate: a) Analyze large-scale textual datasets; b) Co-develop new Large Language Model (LLM) artificial intelligence systems in collaboration with the partners of the RegulAIze
-
subtypes. Build and evaluate retrieval-augmented generation (RAG)-based large language models (LLMs) pipelines to extract key entities, relationships, and concepts from peer-reviewed literature, clinical